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ML Engineer – Computer Vision, VLM
Orcrist Technologies GmbH. Develop, train, evaluate, and fine-tune computer vision and visual language models .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and optimizing computer vision and visual language models, with a strong focus on data pipelines and large-scale visual datasets. Proficient in collaborating with technical teams and adapting to new technologies in intelligence and public safety projects.
Highest-signal resume keywords
Computer Vision DevelopmentAI/ML Model Fine-TuningData Pipeline EngineeringGeospatial Data AnalysisGerman Language Proficiency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Computer VisionAI/ML Model DevelopmentImage UnderstandingData Pipeline ConstructionObject RecognitionGeoreferencingRemote SensingSatellite Imagery AnalysisLarge-Scale Data ProcessingMachine Learning Deployment
Soft Skills
Analytical SkillsProblem-SolvingSelf-DirectedTeam CollaborationClear Communication
Tools & Technologies
Cloud InfrastructureOpenStreetMapDronesSensorsPhotogrammetry
Industry Keywords
IntelligencePublic SafetyMilitaryDefenseVisual Intelligence
Tech Stack
Tools & technologiesCloudRemote Sensing
About the role
Key responsibilities & impact- Develop, train, evaluate, and fine-tune computer vision and visual language models
- Work on object recognition, detection, classification, and identification
- Build data pipelines, scrapers, and workflows for large-scale visual and geospatial datasets
- Experiment with state-of-the-art and open-source models and turn promising approaches into reliable systems
- Work with satellite imagery, geospatial data, sensors, and other visual intelligence sources
- Take ownership of experimental projects and rapidly explore new ideas and technologies
- Collaborate closely with other engineers and technical leadership on key initiatives
- Travel every 2–4 weeks for architecture reviews and team events
- Develop and productionize computer vision and visual language capabilities for intelligence and public safety projects
- Train, evaluate, fine-tune, and optimize AI models for real-world use cases
- Work with object recognition, image and document understanding, geospatial data, satellite imagery, and large-scale visual data
- Build practical engineering systems from data pipelines and experiments
Requirements
What you’ll need- Bachelor's degree or higher in Computer Science, Physics, Mathematics, or a related field, with excellent grade record from a leading university
- Strong academic record and excellent analytical and problem-solving skills
- Strong programming skills and experience developing or fine-tuning AI/ML models
- Experience with computer vision, VLMs, image understanding, or related ML applications
- Strong interest in data, analytics, and data pipelines
- Exceptional ability and motivation to learn new technologies and domains quickly
- Self-directed, hands-on, and comfortable working without close day-to-day management
- Strong team player with clear and honest communication
- Excellent German language skills
- Eligible to work full-time in Germany
- Willing to undergo the required security clearance and background checks
- Experience with georeferencing, satellite imagery, remote sensing, OpenStreetMap, or photogrammetry
- Experience with large-scale data pipelines, cloud infrastructure, or ML deployment
- Experience with sensors such as drones, antennas, or cameras
- Background in computer vision research, e.g. Fraunhofer IGD or similar
- Knowledge of Russian or Ukrainian language
- Interest or experience in military, intelligence, defense, or public safety domains
Benefits
Comp & perks- Remote-first, Germany-wide: Work from wherever you do your best work, with regular team gatherings in Berlin and other off-site locations.
- Flexible working hours
- Personal home-office equipment budget
- 30 days of vacation
- Personal and professional development investment
- Performance bonuses tied to agreed objectives and key results
- Welcome goodie bag
- Summer and Christmas parties and regular team gatherings
- Work on challenges with tangible impact on public safety and national security